Area of research
Electrical and Electronic Engineering · Renewable Energy, Sustainability and the Environment
Research interest
Research interests include Scheduling (production processes), Computer science, Demand response, Reinforcement learning, Flexibility (engineering), and Electricity.
Cost-effective industrial internet of things network planning for sustainable manufacturing systems
Explainable multi-agent deep reinforcement learning for real-time demand response towards sustainable manufacturing
Deep reinforcement learning-based approach for dynamic disassembly scheduling of end-of-life products with stimuli-activated self-disassembly
Demand response for manufacturing systems considering the implications of fast-charging battery powered material handling equipment
CPS-enabled and knowledge-aided demand response strategy for sustainable manufacturing
Vehicle-to-manufacturing (V2M) system: A novel approach to improve energy demand flexibility for demand response towards sustainable manufacturing
Process Monitoring in Ultrasonic Metal Welding of Lithium Batteries by Power Signals
Modeling and economic optimization of cellulosic biofuel supply chain considering multiple conversion pathways